树莓派4B使用ARM Compute Library运行AlexNet

# Install Build Tools 
$ pip install scons 

# Reload Environment
$ source ~/.profile

# Clone Compute Library 
$ git clone https://github.com/Arm-software/ComputeLibrary.git 

# or wget https://www.mobibrw.com/wp-content/uploads/2019/10/ComputeLibrary.zip

# Enter ComputeLibrary folder 
$ cd ComputeLibrary  

# Build the library and the examples 
$ scons Werror=1 debug=0 asserts=0 neon=1 opencl=1 examples=1 os=linux arch=armv7a -j4 

# Run on the Raspberry Pi
$ export LD_LIBRARY_PATH=build/ 

# Download AlexNet

# Install unzip
$ sudo apt-get install unzip

# Download the zip file with the AlexNet model, input images and labels
$ wget https://armkeil.blob.core.windows.net/developer/developer/technologies/Machine%20learning%20on%20Arm/Tutorials/Running%20AlexNet%20on%20Pi%20with%20Compute%20Library/compute_library_alexnet.zip

# or wget https://www.mobibrw.com/wp-content/uploads/2019/10/compute_library_alexnet.zip

# Create a new folder
$ mkdir assets_alexnet

# Unzip
$ unzip compute_library_alexnet.zip -d assets_alexnet

$ PATH_ASSETS=./assets_alexnet 

$ ./build/examples/graph_alexnet 0 $PATH_ASSETS  $PATH_ASSETS/go_kart.ppm $PATH_ASSETS/labels.txt

参考链接

• Running AlexNet on Raspberry Pi with Compute Library
• Profiling AlexNet on Raspberry Pi and HiKey 960 with the Arm Compute Library